10 Weeks, 20 Lessons, Data Science for All!

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Transformers for Longer Sequences

TensorFlow code and pre-trained models for BERT

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

PyTorch package for the discrete VAE used for DALL·E.

Taming Transformers for High-Resolution Image Synthesis

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

Google Research

Code for "LASR: Learning Articulated Shape Reconstruction from a Monocular Video". CVPR 2021.

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

🔎 Semantic search for developers

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

📊 Path to a free self-taught education in Data Science!

🏅 Collection of Kaggle Solutions and Ideas 🏅

The Roadmap to Learn Generative Adversarial Networks (GANs)

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Fit interpretable models. Explain blackbox machine learning.

Solutions to Recommender Systems competitions

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

A list of ICs and IPs for AI, Machine Learning and Deep Learning.